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ICML
2004
IEEE
14 years 10 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
TSD
2007
Springer
14 years 3 months ago
Using Query-Relevant Documents Pairs for Cross-Lingual Information Retrieval
The world wide web is a natural setting for cross-lingual information retrieval. The European Union is a typical example of a multilingual scenario, where multiple users have to de...
David Pinto, Alfons Juan, Paolo Rosso
BMCBI
2006
150views more  BMCBI 2006»
13 years 9 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
MICRO
1996
IEEE
106views Hardware» more  MICRO 1996»
14 years 1 months ago
Optimization of Machine Descriptions for Efficient Use
A machine description facility allows compiler writers to specify machine execution constraints to the optimization and scheduling phases of an instruction-level parallelism (ILP)...
John C. Gyllenhaal, Wen-mei W. Hwu, B. Ramakrishna...
EMNLP
2007
13 years 10 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi